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Rijo-Garcia, Sara; Segredo, Eduardo; Leon, Coromoto – IEEE Transactions on Education, 2022
Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of computational thinking. Background: In the field of computer science, computational thinking is defined as a method that enhances problem-solving skills, system design, and…
Descriptors: Computation, Thinking Skills, Computer Science Education, Problem Solving
King, Emily C.; Benson, Max; Raysor, Sandra; Holme, Thomas A.; Sewall, Jonathan; Koedinger, Kenneth R.; Aleven, Vincent; Yaron, David J. – Journal of Chemical Education, 2022
This report showcases a new type of online homework system that provides students with a free-form interface and dynamic feedback. The ORCCA Tutor (Open-Response Chemistry Cognitive Assistance Tutor) is a production rules-based online tutoring system utilizing the Cognitive Tutoring Authoring Tools (CTAT) developed by Carnegie Mellon University.…
Descriptors: Intelligent Tutoring Systems, Chemistry, Homework, Feedback (Response)
Fergusson, Anna; Pfannkuch, Maxine – Mathematical Thinking and Learning: An International Journal, 2022
The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms…
Descriptors: Foreign Countries, Data Science, Statistics Education, Mathematical Models
Fergusson, Anna; Wild, Chris J. – Teaching Statistics: An International Journal for Teachers, 2021
The explosion in availability and variety of data requires learning experiences that reveal more of the data world faster and develop practical skills with digital technologies. Key high-level goals of the International Data Science in Schools Project (IDSSP) include having students continually immersed in the cycle of learning from data, and data…
Descriptors: Data, Data Analysis, Skill Development, Discovery Learning
Dvoryatkina, Svetlana N.; Zhuk, Larisa V.; Smirnov, Evgeniy I.; Khizhnyak, Anastasia V.; Shcherbatykh, Sergey V. – Journal of Teacher Education for Sustainability, 2021
The study is aimed to develop the open innovation model of student's research activities based on the adaptation of modern scientific achievements in the context of transition to sustainable development of the education system. It advances a general approach to the design of the structure and implementation of main components of hybrid intelligent…
Descriptors: Innovation, Models, Student Research, Science Achievement
Introducing High School Statistics Teachers to Predictive Modelling and APIs Using Code-Driven Tools
Fergusson, Anna; Pfannkuch, Maxine – Statistics Education Research Journal, 2022
Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…
Descriptors: High School Teachers, Statistics Education, Prediction, Mathematical Models
Merkouris, Alexandros; Chorianopoulos, Konstantinos – ACM Transactions on Computing Education, 2019
Contemporary research has explored educational robotics, but it has not examined the development of computational thinking in the context of programming embodied interactions. Apart from the goal of the robot and how the robot will interact with its environment, another important aspect that should be taken into consideration is whether and how…
Descriptors: Educational Technology, Robotics, Middle School Students, Man Machine Systems
Paek, Insu; Han, Kyung T. – Applied Psychological Measurement, 2013
This article reviews a new item response theory (IRT) model estimation program, IRTPRO 2.1, for Windows that is capable of unidimensional and multidimensional IRT model estimation for existing and user-specified constrained IRT models for dichotomously and polytomously scored item response data. (Contains 1 figure and 2 notes.)
Descriptors: Item Response Theory, Computer Software, Computation, Patients
Ghergulescu, Ioana; Muntean, Cristina Hava – International Journal of Artificial Intelligence in Education, 2016
Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…
Descriptors: Case Studies, Questionnaires, Electronic Learning, Educational Games
Sempere, Andrew – Educational Technology & Society, 2005
In this article, we present CTRL_SPACE: a design for a software environment with companion hardware, developed to introduce preliterate children to basic computational concepts by means of an animatronic face, whose individual features serve as an analogy for a programmable object. In addition to presenting the environment, this article briefly…
Descriptors: Animation, Computer Software, Computers, Computer Literacy

Birk, James P., Ed. – Journal of Chemical Education, 1990
Reviewed are six computer programs which may be useful in teaching college level chemistry. Topics include dynamic data storage in FORTRAN, "KC?DISCOVERER," pH of acids and bases, calculating percent boundary surfaces for orbitals, and laboratory interfacing with PT Nomograph for the Macintosh. (CW)
Descriptors: Atomic Structure, Chemical Reactions, Chemistry, College Science